Evaluating Usability of Information Visualization Techniques

Several information visualization techniques have been developed in the last few years due to the need of representing and analyzing the huge amount of data generated by several applications or made available through the World Wide Web. These techniques are usually interactive and provided as part of a graphical user interface. Information visualization techniques are usually reported showing their use in experimental situations, employing some kind of analysis. Nevertheless, few studies have specifically addressed the evaluation of such techniques. This paper reports our results towards the definition of criteria for evaluating information visualization techniques, addressing evaluation of visual representations and interaction mechanisms. Resumo. Várias técnicas de visualização de informações foram desenvolvidas nos últimos anos devido a necessidade de representar e analisar a grande quantidade de informações geradas por diversas aplicações ou disponíveis através da World Wide Web. Estas técnicas são geralmente interativas e fornecidas como parte de uma interface gráfica. Técnicas de visualização de informações são normalmente relatadas analisando seu uso em situações experimentais em geral limitadas. Entretanto, poucos estudos tratam efetivamente da avaliação dessas técnicas. O presente trabalho apresenta resultados na direção da definição de critérios para avaliar técnicas de visualização, em relação a representações visuais e mecanismos de interação.

[1]  John Riedl,et al.  An operator interaction framework for visualization systems , 1998, Proceedings IEEE Symposium on Information Visualization (Cat. No.98TB100258).

[2]  Keith Andrews,et al.  Information Slices: Visualising and Exploring Large Hierarchies using Cascading, Semi-Circular Discs , 1998 .

[3]  Debora Shaw,et al.  Handbook of usability testing: How to plan, design, and conduct effective tests , 1996 .

[4]  Marc M. Sebrechts,et al.  Design of 3D visualization of search results: evolution and evaluation , 2000, Electronic Imaging.

[5]  Jock D. Mackinlay,et al.  Cone Trees: animated 3D visualizations of hierarchical information , 1991, CHI.

[6]  Richard Brath,et al.  Concept Demonstration Metrics for Effective Information Visualization , 1997 .

[7]  Ben Shneiderman,et al.  The eyes have it: a task by data type taxonomy for information visualizations , 1996, Proceedings 1996 IEEE Symposium on Visual Languages.

[8]  Mark Apperley,et al.  Data base navigation: an office environment for the professional , 1982 .

[9]  Ramana Rao,et al.  A focus+context technique based on hyperbolic geometry for visualizing large hierarchies , 1995, CHI '95.

[10]  Ricardo Andrade Cava,et al.  Visualizing Hierarchies Using a Modified Focus + Context Technique , 2001 .

[11]  Jock D. Mackinlay,et al.  The perspective wall: detail and context smoothly integrated , 1991, CHI.

[12]  Tamara Munzner,et al.  H3: laying out large directed graphs in 3D hyperbolic space , 1997, Proceedings of VIZ '97: Visualization Conference, Information Visualization Symposium and Parallel Rendering Symposium.

[13]  David A. Carr,et al.  Evaluating 3-dimensional information visualizaton designs , 1998 .

[14]  Ganesh S. Oak.  Information Visualization Introduction , 2022 .

[15]  Ben Shneiderman,et al.  Tree-maps: a space-filling approach to the visualization of hierarchical information structures , 1991, Proceeding Visualization '91.

[16]  Benjamin Watson,et al.  Using naming time to evaluate quality predictors for model simplification , 2000, CHI.

[17]  Nigel Bevan,et al.  Usability is Quality of Use , 1995 .

[18]  Jock D. Mackinlay,et al.  The structure of the information visualization design space , 1997, Proceedings of VIZ '97: Visualization Conference, Information Visualization Symposium and Parallel Rendering Symposium.